A Consortium Blockchain-Enabled Secure and Privacy-Preserving Optimized Charging and Discharging Trading Scheme for Electric Vehicles

Abstract

This article utilizes consortium blockchain to design a decentralized, secure, and privacy-preserving scheme for bidirectional power trading between electric vehicles (EVs) and the power grid. To reduce adverse effects induced by disordered charging of massive EVs to the power grid, we minimize the total load deviation through optimizing the charging and discharging time period of EVs. Our optimization scheduling is a large-scale mixed-integer programming problem of which the number of variables and constraints are enormous. Hence, we propose to adopt the heuristic algorithm, an improved krill herd (KH) algorithm to solve it. Simulation results indicate that our model can effectively smooth the load fluctuations, and improved KH can improve the rate and accuracy of solving this model effectively. Implementation of Hyperledger Fabric evaluates the performance and scalability of our scheme. Qualitative security and privacy analysis demonstrate that our scheme helps to improve the security and privacy of power trading.